python-thinc 9.0.0-2 source package in Ubuntu

Changelog

python-thinc (9.0.0-2) unstable; urgency=medium

  * Team upload.
  * Do not generate a runtime dependency on python3-mock

 -- Alexandre Detiste <email address hidden>  Thu, 01 Aug 2024 22:23:45 +0200

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc

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File Size SHA-256 Checksum
python-thinc_9.0.0-2.dsc 2.4 KiB ffa04e7c4f6f0d45e1f6c7375e163d0c40ac3dce0fcdb87ea80afd505900a897
python-thinc_9.0.0.orig.tar.gz 1.6 MiB 54062ae30e1b1050289103f096333a322c049b320e0bb1b366dc79258d692cf3
python-thinc_9.0.0-2.debian.tar.xz 4.0 KiB e46924595e6736fafe5b7ff29b9c59a7d5f0f1d4db9eb71bd8cc8b26ed30bc14

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Binary packages built by this source

python3-thinc: Practical Machine Learning for NLP in Python

 Thinc is the machine learning library powering spaCy <https://spacy.io>.
 It features a battle-tested linear model designed for large sparse
 learning problems, and a flexible neural network model under development
 for spaCy v2.0 <https://spacy.io/usage/v2>.
 .
 Thinc is a practical toolkit for implementing models that follow the
 "Embed, encode, attend, predict" architecture. It's designed to be easy
 to install, efficient for CPU usage and optimised for NLP and deep
 learning with text – in particular, hierarchically structured input
 and variable-length sequences.

python3-thinc-dbgsym: debug symbols for python3-thinc